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Papers: 10.1186/s12859-021-04125-4

https://doi.org/10.1186/s12859-021-04125-4

Censcyt: censored covariates in differential abundance analysis in cytometry

Cited by: 0
Author(s): Reto Gerber, Mark D. Robinson
Published: about 4 years ago

Software Mentions 8

bioconductor: diffcyt
Differential discovery in high-dimensional cytometry via high-resolution clustering
Papers that mentioned: 18
Very Likely Science (100)
bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in R
Papers that mentioned: 6,568
Very Likely Science (100)
bioconductor: flowDensity
Sequential Flow Cytometry Data Gating
Papers that mentioned: 15
Very Likely Science (90)
bioconductor: flowMeans
Non-parametric Flow Cytometry Data Gating
Papers that mentioned: 17
Very Likely Science (90)
bioconductor: FlowSOM
Using self-organizing maps for visualization and interpretation of cytometry data
Papers that mentioned: 177
Very Likely Science (75)
pypi: cc
UNKNOWN
Papers that mentioned: 12
Very Likely Science (65)
pypi: mrl
A sample Python project
Papers that mentioned: 1
Very Likely Science (65)
pypi: PhenoGraph
Graph-based clustering for high-dimensional single-cell data
Papers that mentioned: 96
Very Likely Science (100)